Daniel Pinedo
portfolio
View the Project on GitHub
odenipinedo/R
Claremont Graduate University
Data Wrangling
Taming/Wrangling
Networks
Correlational Network Analysis
Psych Stats
T Tests & ANOVA
Multiple Regression
Categorical and Non-Parametric Analysis
Factor Analysis
Structural Equation Modeling
DataCamp
Analyzing Genomic Data in R
introduction to Bioconductor in R
RNA-seq with Bioconductor in R
differential expressiion analysis with limma in R
single cell RNA-seq with Bioconductor in R
ChIP-seq with Bioconductor in R
Certificate
Data Manipulation with R
data manipulation with dplyr
joining data with dplyr
case study: exploratory data analysis in R
data manipulation with data.table in R
joining data with data.table in R
Certificate
Data Visualization with R
introduction to data visualization with ggplot2
intermediate data visualization with ggplot2
visualization best practices in R
Certificate
Data Scientist with R
introduction to R
intermediate R
introduction to the Tidyverse
data manipulation with dplyr
joining data with dplyr
introduction to data visualization with ggplot2
intermediate data visualization with ggplot2
introduction to importing data in R
intermediate importing data in R
cleaning data in R
working with dates and times in R
introduction to writing functions in R
exploratory data analysis in R
case study: exploratory data analysis in R
correlation and regression in R
supervised learning in R: classification
supervised learning in R: regression
unsupervised learning in R
cluster analysis in R
Certificate
Epidemiology
survival analysis in R
Certificate
designing and analyzing clinical trials in R
Importing & Cleaning Data with R
introduction to importing data in R
intermediate importing data in R
cleaning data in R
working with data in the tidyverse
Certificate
Interactive Data Visualization in R
interactive maps with leaflet in R
interactive data visualization with plotly in R
intermediate interactive data visualization with plotly in R
visualizing big data with Trelliscope in R
interactive data visualization with rbokeh
Certificate
Machine Learning Scientist with R
supervised learning in R: classification
supervised learning in R: regression
unsupervised learning in R
machine learning in the tidyverse
multiple and logistic regression in R
cluster analysis in R
machine learning with caret in R
tree-based models in R
support vector machines in R
advanced dimensionality reduction in R
fundamentals of Bayesian data analysis in R
topic modeling in R
hyperparameter tuning in R
Bayesian regression modeling with rstanarm
introduction to Spark with sparklyr in R
Certificate
Network Analysis with R
network analysis in R
predictive analytics using networked data in R
network analysis in the tidyverse
case studies: network analysis in R
Certificate
Probability and Distributions with R
foundations of probability in R
multivariate probability distributions in R
probability puzzles in R
mixture models in R
Certificate
SQL Fundamentals
introduction to SQL
joining data in SQL
intermediate SQL
PostgreSQL summary stats and window functions
functions for manipulating data in PostgreSQL
R Programmer
introduction to the Tidyverse
project: Dr. Semmelweis and the discovery of handwashing
data manipulation with dplyr
writing efficient R code
working with dates and times in R
project: drunken datetimes in Ames, Iowa
string manipulation with stringr in R
working with web data in R
introduction to writing functions in R
project: clustering Bustabit gamling behavior
introduction to shell
parallel programming in R
defensive R programming
developing R packages
object-oriented programming with S3 and R6 in R
Certificate
Shiny Fundamentals with R
building web applications with Shiny in R
case studies - building web applications with Shiny in R
building dashboards with shinydashboard
building dashboards with flexdashboard
Certificate
Spatial Data with R
visualizing geospatial data in R
spatial analysis with sf and raster in R
spatial statistics in R
interactive maps with leaflet in R
Certificate
Statistical Inference with R
foundations of inference
inference for categorical data in R
inference for numerical data in R
inference for linear regression in R
Certificate
Statistician with R
introduction to data in R
exploratory data analysis in R
modeling with data in the tidyverse
correlation and regression in R
multiple and logistic regression in R
foundations of inference
foundations of probability in R
dealing with missing data in R
experimental design in R
A/B testing in R
fundamentals of Bayesian data analysis in R
linear algebra for data science in R
inference for categorical data in R
Bayesian modeling with RJAGS
Certificate
Statistics (misc)
analyzing survey data in R
hierarchical and mixed effects models in R
generalized linear models in R
nonlinear modeling in R with GAMs
factor analysis in R
structural equation modeling with lavaan in R
survey and measurement development in R
anomaly detection in R
analyzing US census data in R
data privacy and anonymization in R
Text Mining with R
introduction to text analysis in R
string manipulation with stringr in R
text mining with bag-of-words in R
sentiment analysis in R
Certificate
Tidyverse Fundamentals with R
introduction to the Tidyverse
working with data in the Tidyverse
project: Dr. Semmelweis and the discovery of handwashing
modeling with data in the tidyverse
communicating with data in the Tidyverse
categorical data in the Tidyverse
Certificate
Time Series
manipulating time series data with xts and zoo in R
time series analysis in R
ARIMA Models in R
forecasting in R
visualizing time series data in R
case studies - manipulating time series data in R
Certificate
RMarkdown
All DataCamp Files
Tidymodels
Statistics
Correlation and regression fundamentals with tidy data principles
K-means clustering with tidy data principles
Bootstrap resampling and tidy regression models
Hypothesis testing using resampling and tidy data
Statistical analysis of contingency tables
Models
Regression models two ways
Classification models using a neural network
Subsampling for class imbalances
Modeling time series with tidy resampling
Multivariate analysis using partial least squares
Work
Model tuning via grid search
Nested resampling
Iterative Bayesian optimization of a classification model
Tuning text models
Develop
Create your own recipe step function
How to build a parsnip model
Custom performance metrics
How to create a tuning parameter function
Create your own broom tidier methods
RMarkdown
All Tidymodels Files